Why This Job is Featured on The SaaS Jobs
This Staff Product Data Analyst role sits at the intersection of product decision-making and a dedicated Data Platform function—an increasingly common operating model in mature SaaS organizations where analytics is expected to be both rigorous and reusable. The remit spans product, finance, and engineering stakeholders, signalling a setup where data is treated as shared infrastructure rather than an ad hoc reporting service.
From a SaaS career perspective, the work maps directly to the mechanics that determine durable recurring revenue: defining core metrics, assessing feature value, shaping monetization inputs, and translating analysis into decisions that change product direction. Building models that are understood outside analytics, and partnering on the underlying data sources, develops a blend of product sense and platform thinking that transfers well across subscription businesses.
The role is best suited to an analyst who prefers cross-functional influence over isolated analysis, and who is comfortable being the “last mile” between technical work and business action. It will fit someone who enjoys ambiguity in metric definition, can communicate to non-technical leaders, and is motivated by improving how an organization runs experiments and uses evidence to prioritize.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the team/role
As a Staff Product Data Analyst, you will work hand-in-hand with multiple business departments to develop complex models and effectively communicate their business impacts, ensuring Checkr maintains its leadership position in efficiency, quality, and other key metrics identified by you and pertinent stakeholders.
This pivotal role falls under the Data Platform organization and you will report directly to the Head of Data Platform. Moreover, your strong partnership with Checkr's Product, Financial Planning & Strategy, Data Engineering, and cross-functional business teams will be the key to unlocking their potential through the strategic use of data and be the last mile for translation to impact on business.
What you’ll do:
- Partner with business stakeholders to gain deep understanding of our products and customers
- Effectively communicate insights and recommendations from your analysis to a non-technical audience across all organizational levels
- Collaborate closely with product owners and finance partners to analyze the value of new features, enhancements, and projects
- Based on exploratory analysis, create customer profiles, develop metrics to inform pricing and monetization strategies
- Work with engineers to develop data sources and core metrics to be utilized by the entire company
- Experimentation Evangelist - educate and promote a data driven culture through experimentation
What you bring:
- 4+ years of experience in a highly analytical role, with at least 3+ years in a product analytics/data science role
- Advanced proficiency in SQL, as well as an understanding of data warehouse principles including data modeling; Bonus points for experience with dbt
- Excellent analytical and problem-solving skills, with the ability to identify and prioritize growth opportunities based on data and experiment results
- Strong written and verbal communication skills and the ability to distill complex analytical solutions into actionable insights and communicate business impact to non technical audiences
- A demonstrated self-starter with excellent prioritization skills, able to drive projects to completion with minimal guidance.
